Georeferenced Rasters and Statistics of Nightlights from NASA Black Marble
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
Fast and efficient access to MODIS, VIIRS and GPM Earth Observation data with R
Georeferenced Rasters and Statistics of Nighttime Lights from NASA Black Marble
Access data from the MODIS web service and perform quality filtering in Python
Package to analyse VIIRS nighttime lights
Python scripts and Jupyter Notebooks to download and preprocess VIIRS DNB Nighttime Lights data.
This repository contains code examples which demonstrate how users can access the CMRSET actual evapotranspiration data product and related data services.
VIIRS uydu verisiyle yangınları analiz eder, Türkiye'deki aktif yangınları harita ve KML ile sunar.
Submit a batch of MODIS Global Subset Tool orders via the MODIS Web Service
VIIRS/NPP Surface Reflectance Daily L2G Global 1 km and 500 m SIN Grid Search and Download Utility
georeferencing for MODIS/VIIRS sinusoidal tiles
MODIS/VIIRS Sinusoidal Land Tile Utilities for Julia
Fast and Accurate collocation of Fast and Accurate Collocation of the Visible Infrared Imaging Radiometer Suite (VIIRS) Measurements with Cross-Track Infrared Sounder (CrIS)
VIIRS/NPP Land Surface Temperature and Emissivity 6-Min L2 Swath 375m NRT Search and Download Utility
VIIRS/NPP Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid Day Search and Download Utility
Based on the integrated analysis and modeling: Areas predicted to undergo development showed strong correlation with recent government initiatives (e.g., road construction, electrification) Estimated identification accuracy for emerging development zones: 82% for RF, 76% for DT, based on validation data The methodology enables early detection o
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